International Journal of Chronic Obstructive Pulmonary Disease最新文献

{"title":"Longitudinal Outcomes and Prognostic Risk of Normalized Airflow Obstruction in a Korean General Population Cohort.","authors":"Yun Seok Kim, Yong Suk Jo, Chin Kook Rhee, John S Kim, Yet Hong Khor, Joon Young Choi","doi":"10.2147/COPD.S614948","DOIUrl":"10.2147/COPD.S614948","url":null,"abstract":"<p><strong>Introduction: </strong>Some individuals with airflow obstruction later show normalized spirometric values, but the clinical implications of this phenomenon in the general population are unclear.</p><p><strong>Methods: </strong>Using data from the Korean Genome and Epidemiology Study (KoGES), we examined the characteristics and prognosis of individuals with normalized airflow obstruction (NO), defined as FEV1/FVC <0.7 at baseline that normalized to ≥0.7 during follow-up.</p><p><strong>Results: </strong>Between 2000 and 2006, 4,807 participants were classified as NO (n=242), fixed obstruction (FO; persistent FEV1/FVC <0.7; n=277), or normal (FEV1/FVC ≥0.7 throughout; n=4,288). Over eight years of follow-up (2007-2014), the NO group contained more men, current smokers, and individuals with lower body mass index than the normal group and showed intermediate lung function between FO and normal groups. Annual FEV1 decline was similar across groups (-48.8 mL/year normal; -48.3 mL/year NO; -45.8 mL/year FO). However, by the end of the 12-year follow-up period, 37.2% of participants in the NO group developed airflow obstruction, with a 4.22-fold higher risk compared with the normal group (95% CI 3.26-5.46). Findings were consistent in a sensitivity analysis excluding individuals with excessive lung function variability. (HR 7.41, 95% CI 5.45-10.07).</p><p><strong>Discussion: </strong>These findings indicate that NO may represent a distinct and dynamic spirometric phenotype associated with increased risk of future airflow obstruction and highlight the need for early identification and preventive strategies in at-risk populations.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"614948"},"PeriodicalIF":4.1,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13436087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148674532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"28-Day Mortality and Prognostic Factors in COPD Patients with Sepsis: A Retrospective Study Using eICU-CRD Database.","authors":"Ailing Zhu, Wei Sun, Dehai Ge, Xiujian Zhang, Jinfeng Zhang, Manman Hu, Qiangjian Zhong, Yangchun Wang, Junjun Liu","doi":"10.2147/COPD.S622249","DOIUrl":"10.2147/COPD.S622249","url":null,"abstract":"<p><strong>Background: </strong>Chronic obstructive pulmonary disease (COPD) is the third leading global cause of death, and concurrent sepsis markedly increases short-term mortality, making early identification of high-risk patients clinically essential. This retrospective study, based on the multi-center eICU-CRD database, sought to identify independent predictors of 28-day all-cause mortality and develop a combined prognostic model for intensive care unit (ICU) patients complicated with both COPD and sepsis.</p><p><strong>Methods: </strong>A total of 1814 eligible patients (49.4% male, mean age 70.03 ± 11.20 years) from 208 US ICUs (2014-2015) were included. Baseline demographic, vital, laboratory, blood gas and organ function data within 24 h of admission were collected. Univariate and multivariate Cox regression screened independent prognostic factors, and ROC curves evaluated predictive performance of single markers and the integrated model.</p><p><strong>Results: </strong>28-day mortality among sepsis-COPD patients was 9.2% (166/1814). After adjusting for confounding variables, the sequential organ failure assessment (SOFA) score was proven to independently affect mortality (HR = 1.19, 95% CI 1.08-1.30, P < 0.001). In contrast, pH (HR = 0.08, 95% CI 0.01-0.96) and body mass index (BMI) (HR = 0.96, 95% CI 0.932-0.998) showed protective effects. All included predictors had area under the curve (AUC) values between 0.57 and 0.67, and the SOFA score achieved the maximum predictive performance. A combined risk model integrating these variables achieved an AUC of 0.70 (95% CI 0.65-0.75, P < 0.001), showing satisfactory discriminatory power. At a threshold value of 0.166 for predictive probability, the model obtained 0.514 sensitivity and 0.791 specificity.</p><p><strong>Conclusion: </strong>Higher SOFA, lower pH and lower BMI independently predict worse 28-day survival in ICU COPD-sepsis patients. This integrated model exhibits moderate discriminative ability and can serve as an auxiliary tool for rapid risk screening among ICU patients.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"622249"},"PeriodicalIF":4.1,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13431427/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148670946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing Team-Based Vaccination Collaboration in Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Survey of Primary Care Teams in Beijing, China.","authors":"Yifan Hou, Ping Zhao, Yuzhe Shi, Meng Ren, Jing Hai, Yang Zhao, Na Zhang, Zhou Wang, Yi Qian, Xu Yang","doi":"10.2147/COPD.S596737","DOIUrl":"10.2147/COPD.S596737","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to investigate the factors influencing the impact of healthcare team collaboration on vaccination status among patients with Chronic Obstructive Pulmonary Disease (COPD) in primary care settings in Beijing, China.</p><p><strong>Patients and methods: </strong>A multicenter cross-sectional survey was conducted among members of family doctor teams in Beijing from October to December 2025. A structured questionnaire assessed team collaboration behaviors, influencing factors, guideline awareness, and vaccination practices. Descriptive statistics and chi-square tests were performed.</p><p><strong>Results: </strong>A total of 209 valid responses were included (response rate: 92.07%). Although 57.9% of participants supported shared responsibility for vaccination, only 24.9% reported frequent team discussions, and 9.1% reported none in the past three months. Unstable vaccine supply (M=2.83) and limited performance incentives (M=3.76) were key barriers. While 66.5% of respondents were familiar with relevant guidelines, only 44.5% consistently provided strong vaccination recommendations in clinical scenarios. Patient hesitancy was primarily attributed to concerns about side effects (69.4%). Most respondents (67.0%) estimated vaccination coverage among COPD patients to be below 30%.</p><p><strong>Conclusion: </strong>A substantial gap exists between guideline awareness and implementation of vaccination in primary care COPD management. Limited team communication, inadequate system support, and patient hesitancy jointly constrain vaccination uptake. Strengthening structured team collaboration, improving incentive mechanisms, and enhancing scenario-based guideline training may help improve vaccination coverage in this population.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"596737"},"PeriodicalIF":4.1,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13426348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148654745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying the Challenges in Self-Management and Preferences for Digital Health Technologies Use Among COPD Patients Based on the CeHRes Roadmap: A Formative Qualitative Study.","authors":"Guo-Fang Tao, Su Yang, Luqing Gao, Xiting Huang, Lihua Huang","doi":"10.2147/COPD.S623363","DOIUrl":"10.2147/COPD.S623363","url":null,"abstract":"<p><strong>Background: </strong>Digital health technologies offer a promising approach to strengthening self-management capacity among patients with chronic obstructive pulmonary disease (COPD), yet clinical application is hampered by poor adherence, low sustained engagement, and limited self-management ability. Although previous studies have identified general self-management challenges in COPD, few have systematically investigated patients' preferences for digital tools or translated these insights into actionable design principles. This hinders the user-centred development and effective deployment of digital interventions for this population.</p><p><strong>Objective: </strong>This study aimed to explore the self‑management challenges and preferences for mobile health (mHealth) among COPD patients, with the ultimate goal of translating these findings into design principles for a persuasive self‑management application.</p><p><strong>Methods: </strong>We conducted in-depth personal interviews with 15 patients with COPD and five healthcare professionals to explore the challenges of self-management and preferences for mHealth. Data were analyzed using thematic analysis. Subsequently, a structured expert consultation was held to translate the findings into key principles for a persuasive self-management application.</p><p><strong>Results: </strong>Five themes regarding barriers to effective self-management were identified: (1) negative emotional experience, (2) poor health literacy, (3) insufficient family support, (4) inadequate professional health care, and (5) economic burden. Patients expressed four key preferences for digital health technologies: (1) simplicity, (2) personalized decision support, (3) self-report, (4) early warning of deterioration. Furthermore, the panel discussion distilled these findings into eight essential key principles: motivation, simplicity, credibility, guidance, personalization, self-report, warning, and continuity.</p><p><strong>Conclusion: </strong>This study provides new insights into user-centered mHealth tools for COPD self-management. We derived core design principles from patients' demands to inform targeted digital interventions. These principles require validation in female, higher-literacy and multi-center samples before wide application. Future work will complete the remaining CeHRes Roadmap stages of design, operationalization and evaluation to refine this framework.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"623363"},"PeriodicalIF":4.1,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13428098/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148654777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Routine Blood Biomarkers and Lung Function in Asthma-COPD Overlap versus Asthma-Only Among Hospitalized Asthma Patients: A Retrospective Cross-Sectional Study.","authors":"Mei Xie, Xiaofei Jin, Hui Li, Lei Tian, Shaojin Wang, Yating Zhang, Ting Wang, Shuni Wang, Hongyi Wang, Xiaoyan Yang","doi":"10.2147/COPD.S609495","DOIUrl":"10.2147/COPD.S609495","url":null,"abstract":"<p><strong>Objective: </strong>To compare routine blood biomarkers, lung function, and medication-associated biomarker patterns between hospitalized asthma patients classified as having asthma-COPD overlap (ACO) and those with asthma-only.</p><p><strong>Methods: </strong>This retrospective cross-sectional analysis included 505 hospitalized asthma patients admitted between January 2020 and December 2024, comprising 190 with ACO and 315 with asthma-only. Disease history, pulmonary function parameters, complete blood cell counts, differential percentages, immunoglobulin E, and medication exposure were extracted from electronic medical records and analyzed using complete cases. Multivariable logistic regression, multivariable linear regression, Spearman correlation, and receiver operating characteristic (ROC) analyses were used to evaluate associations and discriminatory performance. Medication analyses were exploratory because treatment was not randomized.</p><p><strong>Results: </strong>Compared with asthma-only patients, patients with ACO were older, had a lower prevalence of allergy history, used inhaled corticosteroids, long-acting beta2-agonists, and long-acting muscarinic antagonists more frequently, and had worse airflow limitation and lower diffusing capacity. Higher neutrophil percentage (adjusted odds ratio: 2.15, 95% confidence interval: 1.62-2.85, p<0.001) and lower lymphocyte percentage (adjusted odds ratio: 0.51, 95% confidence interval: 0.39-0.67, p<0.001) were independently associated with ACO after Bonferroni correction. In ACO patients, inhaled corticosteroid and long-acting beta2-agonist exposure was nominally associated with higher neutrophil-related and lower lymphocyte-related measures, but these observational findings should not be interpreted as treatment effects. FEV1/FVC showed the best discrimination for ACO (area under the curve [AUC]: 0.696), whereas neutrophil percentage showed modest complementary discrimination (AUC: 0.596).</p><p><strong>Conclusion: </strong>Within this hospitalized asthma cohort, ACO was associated with older age, more severe airflow limitation, impaired diffusing capacity, and a more neutrophil-dominant systemic inflammatory profile than asthma-only. Routine blood biomarkers, particularly neutrophil and lymphocyte percentages, may complement pulmonary function parameters in identifying ACO, but their standalone diagnostic performance was modest. Medication-associated biomarker differences were exploratory and require prospective validation.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"609495"},"PeriodicalIF":4.1,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13426496/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148654723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction and Validation of a Machine Learning Model Based on Clinical and Microbiomic Features for Predicting High Mucus Secretion in COPD.","authors":"Qingqing Liu, Hui Zhao","doi":"10.2147/COPD.S620360","DOIUrl":"10.2147/COPD.S620360","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate clinical and airway microbiome features of excessive mucus secretion (CMH) in COPD progression and apply machine learning for CMH status identification.</p><p><strong>Methods: </strong>A total of 319 COPD patients from Changzhi People's Hospital (May 2020-March 2024) were consecutively enrolled and divided by sputum volume and characteristics into a high mucus secretion group (n=173) and a non-high mucus secretion group (n=146). Patients were randomly assigned to training (80%) and testing (20%) sets. Airway microbiome structure was analyzed via 16S rRNA sequencing. From clinical and microbiome data, 70 features were extracted. Six machine learning algorithms (SVM, KNN, RF, BN, GBDT, NN) were used to build classification models. Feature selection employed filtering methods, and hyperparameters were optimized by 10-fold cross-validation. Model performance was assessed using sensitivity, specificity, accuracy, and AUC.</p><p><strong>Results: </strong>The CMH group and the non-CMH group differed significantly in a number of factors, including age, the length of the disease, and pulmonary function indices, according to a comparison of baseline patient data. Analysis of airway microbiome characteristics revealed that the CMH group had significantly lower observed ASVs and Shannon indices (<i>p</i><0.001), along with significant enrichment of potentially pathogenic bacterial genera such as Haemophilus and Pseudomonas. Following feature selection, disease duration, Haemophilus abundance, history of AECOPD, Pseudomonas abundance, and predicted FEV1% were identified as significant predictive factors. With a sensitivity of 0.867, specificity of 0.789, PPV of 0.805, NPV of 0.855, and AUC of 0.911, the Bayesian Network (BN) model outperformed the other six machine learning models on the testing sets; its generalization ability was significantly superior to other algorithms such as SVM and RF.</p><p><strong>Conclusion: </strong>CMH in COPD is linked to airway dysbiosis and pathogen enrichment. The BN model effectively identifies this phenotype with strong generalization ability.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"620360"},"PeriodicalIF":4.1,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13401893/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148594248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence, Associate Factors, and Disease Awareness of Chronic Obstructive Pulmonary Disease: A Large-Scale Cross-Sectional Epidemiological Survey.","authors":"Herong Wang, Jinmiao Hu, Xiaochuan Zhu, Zhengcun Pei, Xing Wang, Li Li","doi":"10.2147/COPD.S609264","DOIUrl":"10.2147/COPD.S609264","url":null,"abstract":"<p><strong>Background: </strong>Chronic obstructive pulmonary disease (COPD) represents a significant global health burden with substantial morbidity and mortality worldwide. While smoking remains the predominant associate factor, emerging evidence suggests biomass fuel exposure and other environmental factors contribute significantly to disease development. Large-scale epidemiological studies are essential to identify modifiable associate factors and inform evidence-based prevention strategies.</p><p><strong>Methods: </strong>We conducted a cluster-sampling cross-sectional survey of 65,680 participants aged 35-75 years during Jan 2023 to Dec 2024, to investigate COPD prevalence and associated associate factors in Tianjin, China. COPD diagnosis was established using post-bronchodilator spirometry with FEV1/FVC<70% as the diagnostic criterion. Comprehensive associate factor assessment included demographic variables (age, gender), anthropometric measures (BMI), smoking status (never, current, former), biomass fuel use for cooking or heating, and chronic cough symptoms. Statistical analysis employed univariate comparisons and multivariate logistic regression modeling to identify independent associate factors, calculating odds ratios (OR) with 95% confidence intervals (CI).</p><p><strong>Results: </strong>The overall COPD prevalence was 7.9% (5,160/65,680 participants) with significant demographic variations. Mean participant age was 54.5±10.9 years, with 41.6% male representation. Multivariate logistic regression identified several independent associate factors: advancing age (OR=1.049, 95% CI: 1.046-1.052, P<0.001), male gender (OR=1.402, 95% CI: 1.312-1.499, P<0.001), current smoking (OR=1.560, 95% CI: 1.445-1.684, P<0.001), former smoking (OR=1.460, 95% CI: 1.306-1.631, P<0.001), and biomass fuel use (OR=1.470, 95% CI: 1.317-1.641, P<0.001). BMI and chronic cough showed no significant associations in the multivariate model.</p><p><strong>Conclusion: </strong>This large-scale epidemiological study confirms a substantial COPD burden with multiple modifiable associate factors. Beyond traditional smoking risks, biomass fuel exposure emerges as a significant independent predictor, highlighting the importance of environmental interventions. These findings support comprehensive prevention strategies targeting smoking cessation and clean energy initiatives, particularly for high-risk populations including older males and those with environmental exposures.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"609264"},"PeriodicalIF":4.1,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13401876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Narrative Review of the Correlation Between Comorbidity and Acute Exacerbation of COPD Patients.","authors":"Qingdie Zhao, Wen Shen, Yayue Zhang, Yue Chen, Zhenyan Li","doi":"10.2147/COPD.S609905","DOIUrl":"10.2147/COPD.S609905","url":null,"abstract":"<p><strong>Introduction: </strong>Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. Most COPD patients have one or more additional chronic diseases (comorbidities), which significantly increase the risk of acute exacerbations-sudden worsening of symptoms that often lead to hospitalization and death.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, CNKI, Wanfang, VIP, CBM, Web of Science, and Scopus databases until January 2026. Cohort studies, randomized controlled trials, real-world studies, and high-quality reviews were included for narrative synthesis and descriptive comprehensive analysis. No PROSPERO registration was performed as this is a narrative review, not a systematic review.</p><p><strong>Results: </strong>Over 70% of COPD patients worldwide have two or more comorbidities, with heart disease, diabetes, and high blood pressure being most common. These comorbidities increase acute exacerbation risk through multiple pathways: direct organ stress (heart failure increases risk 2.3-fold), immune dysfunction (diabetes raises hospitalization 1.8-fold), behavioral changes (depression/anxiety increase risk 1.5-2.1-fold), and self-management breakdown (cognitive impairment affects 32% of patients and drives medication non-adherence). Body-wide inflammation serves as a central biological mechanism linking lung disease to multi-organ damage. New prediction tools using artificial intelligence and dynamic risk scores improve forecasting of exacerbations. Additional about 30 papers were identified through the Snowball Method (citation tracking of included articles and reference list screening), ensuring comprehensive coverage of relevant evidence.</p><p><strong>Conclusion: </strong>Comorbidities are not merely accompaniments to COPD but active drivers of acute exacerbations through interconnected biological and behavioral pathways. Effective COPD management requires integrated care that addresses heart disease, metabolic disorders, mental health conditions, and cognitive function alongside lung disease, using team-based approaches and locally adapted strategies.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"609905"},"PeriodicalIF":4.1,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13401879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148594239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facial Wrinkling is Not Associated with Chronic Obstructive Pulmonary Disease Severity in Thai Patients: A Cross-Sectional Study.","authors":"Poonkiat Suchonwanit, Tanat Eittidachachote, Bunlung Pongpitpitak, Kasama Tejapira, Narikun Ketprapakorn, Naparat Amornputtisathaporn, Phichaya Chamnanvej","doi":"10.2147/COPD.S618288","DOIUrl":"10.2147/COPD.S618288","url":null,"abstract":"<p><strong>Background: </strong>Western studies have reported associations between facial wrinkling and chronic obstructive pulmonary disease (COPD), suggesting a shared susceptibility to tissue aging. However, data on Asian populations are limited, and population-specific differences in skin biology may modify these relationships.</p><p><strong>Objective: </strong>To investigate the association between facial wrinkle severity and COPD characteristics in Thai patients and to identify independent predictors of wrinkle severity.</p><p><strong>Methods: </strong>This cross-sectional study enrolled 93 Thai patients with COPD. Facial wrinkles were assessed using the Daniell grading scale (a validated six-point subjective clinical grading system) and the Antera 3D imaging system (an objective three-dimensional topographic imaging device). Multivariable linear and logistic regression analyses were performed to identify independent predictors of wrinkle severity after adjustment for age, sex, body mass index (BMI), cumulative smoking exposure, occupational sun exposure, and post-bronchodilator FEV₁ % predicted.</p><p><strong>Results: </strong>Mean age was 72.6±8.8 years (90.3% male). Severe facial wrinkling, defined as a Daniell score ≥4, was present in 41.9% of the patients. The Daniell grading scale and Antera 3D measurements showed a moderate-to-strong correlation (Spearman's <i>ρ</i>=0.68, p<0.001). In multivariable analyses, age was consistently associated with both objective wrinkle depth (β=0.08; 95% CI: 0.01-0.24; p=0.042) and severe wrinkling (OR=1.15; 95% CI: 1.06-1.23; p<0.001). Higher body mass index was inversely associated with objective wrinkle severity (β=-0.34; 95% CI: -0.65 to -0.03; p=0.031) but not with severe Daniell-grade wrinkling. COPD-related characteristics, including FEV₁ % predicted, cumulative smoking exposure, and smoking-related COPD status, showed no significant associations with wrinkle severity after adjustment.</p><p><strong>Conclusion: </strong>Among Thai patients with spirometry-confirmed COPD, no significant association was detected between facial wrinkle severity and the COPD-related characteristics assessed. Age was the most consistent independent predictor of wrinkle severity, while higher BMI showed an inverse association with objective wrinkle measurements only. These findings differ from those reported in Western populations and support population-specific validation before applying facial wrinkling as a cutaneous marker of COPD-related disease burden.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"618288"},"PeriodicalIF":4.1,"publicationDate":"2026-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13390672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148563379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Progress on Animal Models of Chronic Obstructive Pulmonary Disease.","authors":"Yi Zhang, Zhizhong Liu, Ruilin Wan, Yihe Zhu, Miao Su, Guangshun Chen, Kunpeng Zhao, Qi Pang, Xueling Li","doi":"10.2147/COPD.S604242","DOIUrl":"10.2147/COPD.S604242","url":null,"abstract":"<p><p>Chronic obstructive pulmonary disease (COPD) is a long-term respiratory condition with high rates of morbidity and mortality. Its pathophysiology is complex, and currently, there are no effective clinical treatments that can fully reverse or halt the disease's progression. Animal models play a significant role in elucidating the pathogenesis of COPD, dynamic pathological processes, and evaluating potential therapeutic strategies, serving as a key to advancing in-depth research on this disease. However, existing modeling methods still face many limitations in accurately simulating the clinical symptoms, pathophysiological features, and progression of human disease, and there is a lack of standardized guidelines and industry consensus. This paper systematically reviews methods for constructing COPD animal models reported in the literature by reviewing 5,071 relevant articles from CNKI, PubMed, and Wanfang Database published in the past decade. The main models include cigarette smoke exposure, protease-induced, genetically modified, harmful substance exposure, and various combined factor models. A comprehensive review and comparison of their construction principles, procedures, pathological features, advantages, and limitations are provided. This review aims to serve as a valuable reference for COPD researchers and clinicians in the construction of animal models of COPD.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"604242"},"PeriodicalIF":4.1,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13387182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148551052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}